AI Data Group 25 Jan 2018 Action Minutes

Date

Jan 25, 2018

Notes @Nick Lynch (Unlicensed)

Frederik, Ian, Eric Marshall, Jabe, Bryn, Helena, Nick, Ted, Carmen, Terry, Will, Les
Apologies Afrozy, Evelina

Comments since last meeting
Review the emerging business case (let me know if you cannot edit, should be open but please use a Google account if you can)
Goal is to gather 2 or 3 business use cases
Ideas on a common template for capturing these, this could go along with the top down approach discussed last meeting
- Would like to use a common template for defining these use cases
  - What is the business issue/challenge that could be addressed with AI
  - What would be the benefits?
  - What could be the deliverables? And early pilots
  - Who should we get involved?
  - What aspects of the data needs addressing, eg
  - - Is about Quantity of data
    - Labelling?
  - Risks & issues (Could be a checklist to rank likelihood of success)
  - - Minimal set of data points
    - Widely observed issue or small community
    - Impact on drug discovery process. How does it impact a drug project
    - Critical Metadata (minimum information standards for area)
    - Confidence in each of the data sets being used/combined
    - Domain knowledge for the area
    - Alignment to FAIR principle
Project Timing & phasing options:
- Early delivery in 4-5 months, second delivery year end?
Next steps focusing on Business case and data use cases
- create a business case(s) for funding by mid Feb 2018 to pitch to groups and present at London Conference

To select business use case(s) areas is our key priority

Item	Summary

Item	Summary
Use Cases	Where are the current pain points: We hope to identify these top down from known areas or in other ways
Data	Need to select areas that have enough data and that this data is accessible or can be made accessible easily. Longer terms goals to encourage best data access in parallel with other initiatives
Toxicology	Is this Pre-clinical, clinical or post marketing? Can we link to ETox data sources and other groups who are collecting data
Instrument & Lab data	How to best include Devices and sensors not just from lab but wider data collection tools Possible focus on maintenance information and prediction of issues
Rare Disease areas	Are there suitable groups to partner here?* Building on Hackathon example from 2017 (frederick ataraxia disease)

*Ian Harrow is a member of the Rare Diseases GO-FAIR group (Marco Roos and Barend Mons) at Leiden, NL. Inaugral meeting is next week.

There is potential value in publishing the use cases and discussion there